#----Load data------------------------------------------------------------------
set.seed(12)
# Simulate adjacency matrices
## GCN
exp <- matrix(
rnorm(1000, mean = 10, sd = 2), nrow = 100, ncol = 100, byrow = TRUE
)
adj <- abs(cor(t(exp)))
rownames(adj) <- paste0("Gene", 1:100)
colnames(adj) <- paste0("Gene", 1:100)
## GRN and PPI
adj_un <- adj
adj_un[adj_un > 0.4] <- 1
adj_un[adj_un <= 0.4] <- 0
diag(adj_un) <- 0
#----Start tests----------------------------------------------------------------
test_that("net_stats() returns a list of network statistics", {
stats_gcn <- net_stats(adj, net_type = "gcn")
stats_ppi <- net_stats(adj_un, net_type = "ppi")
stats_grn <- net_stats(adj_un, net_type = "grn")
stats_gcn_additional <- net_stats(adj, net_type = "gcn", TRUE)
expect_error(net_stats(adj, net_type = "wrong"))
expect_equal(class(stats_gcn), "list")
expect_equal(class(stats_ppi), "list")
expect_equal(class(stats_grn), "list")
expect_equal(class(stats_gcn_additional), "list")
expect_equal(length(stats_gcn), 8)
expect_equal(length(stats_ppi), 7)
expect_equal(length(stats_grn), 6)
expect_equal(length(stats_gcn_additional), 10)
})
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